[图书][B] Computer Assisted Short Answer Grading with Rubrics using Active Learning
G Kolappan - 2023 - pub.h-brs.de
This thesis investigates the benefit of rubrics for grading short answers using an active
learning mechanism. Automating short answer grading using Natural Language Processing …
learning mechanism. Automating short answer grading using Natural Language Processing …
A New Approach for Carrying Out Sentiment Analysis of Social Media Comments Using Natural Language Processing
M Ranjan, S Tiwari, AM Sattar, NS Tatkar - Engineering Proceedings, 2024 - mdpi.com
Business and science are using sentiment analysis to extract and assess subjective
information from the web, social media, and other sources using NLP, computational …
information from the web, social media, and other sources using NLP, computational …
Comparative Analysis of RNN, LSTM, Bi-LSTM Performance for Location and Time Entity Recognition in Forest Fire Texts
DA Dzulhijjah, K Kusrini… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
This paper presents a comprehensive comparative analysis of the performance of Recurrent
Neural Networks (RNN), Long Short-Term Memory (LSTM), and Bidirectional Long Short …
Neural Networks (RNN), Long Short-Term Memory (LSTM), and Bidirectional Long Short …
IMPLEMENTASI ALGORITMA BI-LSTM DALAM MENDETEKSI ENTITAS WAKTU DAN LOKASI KEBAKARAN HUTAN
Penelitian ini berfokus pada penerapan algoritma Bidirectional Long Short-Term Memory (Bi-
LSTM) untuk identifikasi entitas waktu dan lokasi dalam konteks kebakaran hutan …
LSTM) untuk identifikasi entitas waktu dan lokasi dalam konteks kebakaran hutan …
BERT-BiLSTM-CRF Chinese Resume Named Entity Recognition Combining Attention Mechanisms
W He, Y Xu, Q Yu - Proceedings of the 4th International Conference on …, 2023 - dl.acm.org
Aiming at the traditional Chinese resume named entity extraction methods can not solve the
problem of multiple meanings of a word well, as well as the problem of insufficient mining of …
problem of multiple meanings of a word well, as well as the problem of insufficient mining of …
The Role of Activation Function in Neural NER for a Large Semantically Annotated Corpus
Information extraction is one of the core fundamentals of natural language processing.
Different recurrent neural network-based models have been implemented to perform text …
Different recurrent neural network-based models have been implemented to perform text …
OPTIMASI DETEKSI ENTITAS KEBAKARAN HUTAN DENGAN MENGGUNAKAN ALGORITMA GENETIKA PADA PARAMETER LEARNING RATE DAN DROPOUT …
DA Dzulhijjah, KA Yuana - Prosiding Seminar Nasional Sains …, 2023 - conference.ut.ac.id
Kebakaran hutan merupakan bencana yang memiliki dampak merugikan secara signifikan
untuk lingkungan dan ekonomi, teknologi berperan penting dalam mitigasi bencana …
untuk lingkungan dan ekonomi, teknologi berperan penting dalam mitigasi bencana …